PIs of successful proposals will receive processed, science-ready data, quality-checked by members of the LMT science support staff. See the Data Reduction and Retrieval webpage for more information.
Project PIs will be informed via email when the pipeline reduction is complete and checked for quality, and the data products will then be made available for download.
A link to the data, with a project-specific username and password, will be included when the quality-checked data summary is delivered via email to the project PI.
Yes, re-reductions can be requested through the LMT Help Request Form.
Please append the following statement:
" This work would not have been possible without the long-term financial support from
the Mexican Humanities, Science and Technology Funding Agency, CONAHCYT
(Consejo Nacional de Humanidades, Ciencias y Tecnologías), and the US National
Science Foundation (NSF), as well as the Instituto Nacional de Astrofísica, Óptica y
Electrónica (INAOE) and the University of Massachusetts, Amherst (UMass). The
operation of the LMT is currently funded by CONAHCYT grant #297324 and NSF grant
#2034318. "
For publications based on LMT observations, including archival data, we request that
authors also include the scientific project ID (e.g. 2023-S1-MX-46) as in the following
statement:
" The data described in this paper include LMT observations conducted under the
scientific program YEAR-SEMESTER-COUNTRY-NUMBER (see example above).
The LMT welcomes acknowledgement of the scientific and technical support offered by
the LMT staff during the observations and generation of data products provided to the
authors. "
A LaTeX version of the above statement is provided below for your convenience:
This work would not have been possible without the long-term financial support from the
Mexican Humanities, Science and Technology Funding Agency, CONAHCYT (Consejo
Nacional de Humanidades, Ciencias y Tecnolog\'ias), and the US National Science
Foundation (NSF), as well as the Instituto Nacional de Astrof\'isica, \'Optica y
Electr\'onica (INAOE) and the University of Massachusetts, Amherst (UMass). The
operation of the LMT is currently funded by CONAHCYT grant \#297324 and NSF grant
\#2034318.